The Role
Designs and maintains scalable data pipelines, develops dbt transformation workflows, and architects Snowflake data models and warehousing solutions. Integrates multiple data sources, implements quality monitoring, troubleshoots pipeline issues, optimizes SQL and warehouse performance, documents architecture, and collaborates with analysts, data scientists, and stakeholders to deliver reliable analytics infrastructure.
Summary Generated by Built In
Key Responsibilities
- Design, build, and maintain scalable, reliable data pipelines that support analytics, reporting, and business intelligence needs
- Develop and optimize data transformation workflows using dbt, following best practices for modularity, testing, and documentation
- Architect and manage data models and warehousing solutions within Snowflake, ensuring performance, scalability, and cost efficiency
- Integrate data from multiple source systems using ETL/ELT tools, ensuring data quality, consistency, and timeliness
- Troubleshoot and resolve complex data pipeline issues, applying strong analytical and problem-solving skills
- Collaborate with data analysts, data scientists, and business stakeholders to understand requirements and translate them into robust technical solutions
- Implement data quality checks, monitoring, and alerting to ensure pipeline reliability
- Optimize SQL queries and warehouse performance (clustering, partitioning, query tuning)
- Document data architecture, pipeline logic, and processes for team knowledge sharing
- Stay current with emerging data engineering tools and practices, recommending improvements where relevant
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The Company
What We Do
Anblicks is a Cloud Data Analytics Company based out of Dallas, TX, with offices in USA, India, and Australia. Since 2004, Anblicks has been helping customers by bringing value to their data and implementing modern data architecture and advanced analytics solutions in the cloud.
